205 search results - page 3 / 41 » Applying Machine Learning for High-Performance Named-Entity ... |
AIRS
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Geographic named entities can be classified into many subtypes that are useful for applications such as information extraction and question answering. In this paper, we ...
LREC
2008
13 years 7 months ago
2008
This paper presents the evaluation of the dictionary look-up component of Mayo Clinic's Information Extraction system. The component was tested on a corpus of 160 free-text c...
SEMWEB
2010
Springer
13 years 3 months ago
2010
Springer
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
JUCS
2007
13 years 5 months ago
2007
: In this paper we present an experience in the extraction of named entities from Spanish texts using stacking. Named Entity Extraction (NEE) is a subtask of Information Extraction...
CIKM
2005
Springer
13 years 11 months ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...